Queue - Data structure
•Download as PPTX, PDF•
0 likes•102 views
A queue is a data structure that follows the first-in, first-out (FIFO) principle. Items are added to the end of the queue using enqueue and removed from the front using dequeue. Queues can be implemented using arrays, with a front pointer pointing to the first item and a rear pointer pointing to the last item.
Report
Share
Report
Share
Recommended
Diametre of tree
This document discusses an algorithm to find the maximum diameter of a tree. The diameter of a tree is defined as the longest path between any two nodes in the tree. The algorithm uses a recursive approach where it first considers the base case of leaf nodes, which have a height and diameter of 1. It then calculates the height and diameter for each node by determining these values for the node's children subtrees and combining the results. The maximum diameter seen so far is tracked as the algorithm traverses the tree from the bottom up. Pseudocode is provided to implement the algorithm.
3 handouts section3-7
This document discusses higher order derivatives. It defines higher order derivatives as the successive differentiation of a function. For an explicitly defined function f(x), the kth derivative is written as ( )( ) ( 1)k kd f x f x dx − . Examples are provided to demonstrate finding higher order derivatives of both explicitly and implicitly defined functions. Notations for higher order derivatives are also introduced.
Derivatives
A brief powerpoint that defines and describes what a derivative is and shows tips and tricks on how to calculate a derivative.
1. 5 Circular singly linked list
1. 5 Circular singly linked listP. Subathra Kishore, KAMARAJ College of Engineering and Technology, Madurai
The document discusses circular singly linked lists. It begins by explaining the issue with singly linked lists, which is that nodes cannot be revisited. It then introduces circular singly linked lists as a solution. It describes the memory representation of a circular linked list using node pointers. It lists common operations on circular linked lists like insertion, deletion, searching and display. It provides examples of creating a new list, inserting nodes at the beginning and end, and deleting nodes from the beginning and end. It notes that a tail pointer should be used instead of the head pointer for certain operations.NYAI #9: Concepts and Questions As Programs by Brenden Lake
Brenden studies computational problems that are easier for people than they are for machines. He received his Ph.D. in Cognitive Science from MIT in 2014, and his M.S. and B.S. in Symbolic Systems from Stanford University in 2009. He is a recipient of the Robert J. Glushko Prize for Outstanding Doctoral Dissertation in Cognitive Science. His recent research on Bayesian Program Learning has been covered by many media outlets (New York Times, Washington Post, etc.) and was selected by Scientific American as one of the most important advances of 2016.
Both cognitive science and AI can gain by studying the human solutions to difficult computational problems. Brenden's talk will focus concept learning and question asking, two problems that people solve far better than machines. People can learn a new concept from fewer examples, and then use their concepts in richer ways -- for imagination, extrapolation, and explanation, not just classification. Moreover, learning is often an active process; people can ask rich and probing questions in order to reduce uncertainty, while algorithms for active learning ask simple and stereotyped queries. He will also discuss work on program induction as a cognitive model and potential solution for extracting richer concepts from less data, with applications to learning handwritten characters and learning recursive visual concepts from examples. Brenden will end with program synthesis as a model of question asking in simple games.
4.1 inverse functions
The document discusses inverse functions. An inverse function reverses the input and output of a function. For a function f(x) to have an inverse function f-1(y), it must be one-to-one, meaning that different inputs produce different outputs. The inverse of a function f(x) is found by solving the original function equation for x in terms of y. Examples show finding the inverse of specific functions like f(x) = x - 5 by solving for x. A function is one-to-one if for any two different inputs u and v, their outputs f(u) and f(v) are also different.
Otter 2016-11-14-ss
The document describes OTTER, a theorem prover that uses resolution style automated reasoning. It discusses OTTER's main loop which involves picking clauses from the set of support or given clauses, and resolving them to generate new clauses. If a clash is found between the generated and passive clauses, the search terminates having proved the theorem. Examples are provided of how OTTER can be used to solve puzzles through clause representation and reasoning.
1. 6 doubly linked list
This document discusses doubly linked lists. It begins by explaining some of the limitations of circular singly linked lists, such as the inability to easily traverse backwards. Doubly linked lists are then introduced as a solution, with each node containing pointers to both the next and previous nodes. The key operations on doubly linked lists like insertion at the beginning, end, and middle as well as deletion at the beginning, end, and middle are described algorithmically. Traversal in both the forward and backward directions is also covered. Code examples are provided to demonstrate creating and manipulating doubly linked lists.
Recommended
Diametre of tree
This document discusses an algorithm to find the maximum diameter of a tree. The diameter of a tree is defined as the longest path between any two nodes in the tree. The algorithm uses a recursive approach where it first considers the base case of leaf nodes, which have a height and diameter of 1. It then calculates the height and diameter for each node by determining these values for the node's children subtrees and combining the results. The maximum diameter seen so far is tracked as the algorithm traverses the tree from the bottom up. Pseudocode is provided to implement the algorithm.
3 handouts section3-7
This document discusses higher order derivatives. It defines higher order derivatives as the successive differentiation of a function. For an explicitly defined function f(x), the kth derivative is written as ( )( ) ( 1)k kd f x f x dx − . Examples are provided to demonstrate finding higher order derivatives of both explicitly and implicitly defined functions. Notations for higher order derivatives are also introduced.
Derivatives
A brief powerpoint that defines and describes what a derivative is and shows tips and tricks on how to calculate a derivative.
1. 5 Circular singly linked list
1. 5 Circular singly linked listP. Subathra Kishore, KAMARAJ College of Engineering and Technology, Madurai
The document discusses circular singly linked lists. It begins by explaining the issue with singly linked lists, which is that nodes cannot be revisited. It then introduces circular singly linked lists as a solution. It describes the memory representation of a circular linked list using node pointers. It lists common operations on circular linked lists like insertion, deletion, searching and display. It provides examples of creating a new list, inserting nodes at the beginning and end, and deleting nodes from the beginning and end. It notes that a tail pointer should be used instead of the head pointer for certain operations.NYAI #9: Concepts and Questions As Programs by Brenden Lake
Brenden studies computational problems that are easier for people than they are for machines. He received his Ph.D. in Cognitive Science from MIT in 2014, and his M.S. and B.S. in Symbolic Systems from Stanford University in 2009. He is a recipient of the Robert J. Glushko Prize for Outstanding Doctoral Dissertation in Cognitive Science. His recent research on Bayesian Program Learning has been covered by many media outlets (New York Times, Washington Post, etc.) and was selected by Scientific American as one of the most important advances of 2016.
Both cognitive science and AI can gain by studying the human solutions to difficult computational problems. Brenden's talk will focus concept learning and question asking, two problems that people solve far better than machines. People can learn a new concept from fewer examples, and then use their concepts in richer ways -- for imagination, extrapolation, and explanation, not just classification. Moreover, learning is often an active process; people can ask rich and probing questions in order to reduce uncertainty, while algorithms for active learning ask simple and stereotyped queries. He will also discuss work on program induction as a cognitive model and potential solution for extracting richer concepts from less data, with applications to learning handwritten characters and learning recursive visual concepts from examples. Brenden will end with program synthesis as a model of question asking in simple games.
4.1 inverse functions
The document discusses inverse functions. An inverse function reverses the input and output of a function. For a function f(x) to have an inverse function f-1(y), it must be one-to-one, meaning that different inputs produce different outputs. The inverse of a function f(x) is found by solving the original function equation for x in terms of y. Examples show finding the inverse of specific functions like f(x) = x - 5 by solving for x. A function is one-to-one if for any two different inputs u and v, their outputs f(u) and f(v) are also different.
Otter 2016-11-14-ss
The document describes OTTER, a theorem prover that uses resolution style automated reasoning. It discusses OTTER's main loop which involves picking clauses from the set of support or given clauses, and resolving them to generate new clauses. If a clash is found between the generated and passive clauses, the search terminates having proved the theorem. Examples are provided of how OTTER can be used to solve puzzles through clause representation and reasoning.
1. 6 doubly linked list
This document discusses doubly linked lists. It begins by explaining some of the limitations of circular singly linked lists, such as the inability to easily traverse backwards. Doubly linked lists are then introduced as a solution, with each node containing pointers to both the next and previous nodes. The key operations on doubly linked lists like insertion at the beginning, end, and middle as well as deletion at the beginning, end, and middle are described algorithmically. Traversal in both the forward and backward directions is also covered. Code examples are provided to demonstrate creating and manipulating doubly linked lists.
MathLab Overview
This document provides an overview of MATLAB formatting and operations on numeric data types. It includes:
1) Examples of formatting numeric values with different precision levels and notations using formats like short, long, hex, etc.
2) Observations on how the precision and byte size of numeric values change based on data type when formatted.
3) Examples of performing basic math operations like addition, subtraction, multiplication on numeric values and the results.
4) Examples of using rounding and remainder functions on integer values and the output.
The document demonstrates how to format and manipulate numeric data in MATLAB using different functions and formats.
Stacks, Queues, Deques
Stacks, Queues, and Deques describes different data structures and their properties. Stacks follow LIFO order with insertion and removal at the same end. Queues follow FIFO order with insertion at one end and removal at the other. Deques allow insertion and removal at both ends. These structures can be implemented using arrays or linked lists.
data structure
The document discusses various data structures including stack, queue, linked lists, priority queue, and the tower of Hanoi problem. It provides definitions and examples of each data structure. For stacks, it describes the push and pop operations. For queues, it discusses insertion at the rear and deletion from the front. It also provides algorithms and code examples for implementing each data structure using arrays and linked lists.
30 computation techniques for mac laurin expansions x
I. The document discusses techniques for computing Maclaurin series expansions of functions algebraically rather than via direct computation of derivatives. It presents theorems stating that Maclaurin series respect basic algebraic operations like addition, multiplication, and composition.
II. Examples are provided of computing the Maclaurin series for functions like sin(x)+cos(x), x2ex, sin(x2), and 1+x2/x through applying the algebraic properties of Maclaurin series and existing series forms.
30 computation techniques for maclaurin expansions x
I. The document discusses techniques for computing Maclaurin series expansions of functions algebraically rather than via direct computation of derivatives. It presents theorems stating that Maclaurin series respect basic algebraic operations like addition, subtraction, multiplication, and division. It also states they respect function composition.
II. Examples are provided of computing the Maclaurin series for sin(x)+cos(x), x^2*e^x, sin(x^2), and 1/(1+x^2). Basic series for exponential, sine, and cosine functions are summarized that are used in the examples.
Stacks and queues
The document discusses stacks and queues. Stacks are linear lists where additions and removals occur at one end, called the top. Stacks follow LIFO order. Queues are linear lists where additions occur at one end, called the rear, and removals occur at the other end, called the front, following FIFO order. Common stack and queue operations and implementations using arrays are described. Examples like the Towers of Hanoi problem and rat in a maze demonstrate stack and queue applications.
Inverse Functions
1) The document discusses finding the inverse of functions by interchanging the x and y variables and solving for y. It provides examples of finding the inverses of f(x)=3x-7 and g(x)=2x^3+1.
2) It also discusses verifying inverses by checking if the composition of a function and its inverse equals x. And finding inverses of functions with restricted domains, including an example of f(x)=sqrt(x+4).
3) Finally, it discusses the relationship between a function being one-to-one and having an inverse function, both algebraically and graphically.
Stacks queues
This document discusses data structures and algorithms for stacks and queues. It describes the common operations for stacks and queues like push, pop, enqueue, dequeue. It provides array-based and linked list-based implementations for both stacks and queues. For queues, it discusses two implementations using arrays: one using front and rear indexes, and another using a circular queue approach. The time complexities of common operations on stacks and queues are also analyzed.
Jan. 6 Inverse Functions
The document discusses inverse functions. It defines an inverse function as switching the x's and y's in a function's ordered pairs. If this inversion results in another function, it is called the inverse function. The domain of the original function becomes the range of the inverse function, and vice versa. It provides examples of finding the expressions for inverse functions and checking if they are correct inverses. It also discusses the differences between one-to-one and many-to-one functions, and uses the horizontal line test to determine which is being graphed. Exercises are provided to find specific inverse functions.
1. 4 Singly linked list deletion
1. 4 Singly linked list deletionP. Subathra Kishore, KAMARAJ College of Engineering and Technology, Madurai
The document discusses various deletion operations on singly linked lists. It provides algorithms and code snippets for deleting the first element, last element, a given element, and an element at a given position in a singly linked list. The algorithms handle both empty lists and non-empty lists with single and multiple nodes. Key steps include checking for empty lists, traversing the list to find the required element or position while tracking the previous node, and updating pointers after deleting the node.Algebra 2 Section 5-3
The document discusses inverse functions and relations. It defines an inverse relation as one where the coordinates of a relation are switched, and an inverse function as one where the domain and range of a function are switched. It provides examples of finding the inverse of specific relations and functions by switching their coordinates or domain and range. It also discusses how to determine if two functions are inverses using their graphs and the horizontal line test.
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx
Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024).
Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).
8.Isolation of pure cultures and preservation of cultures.pdf
Isolation of pure culture, its various method.
Bob Reedy - Nitrate in Texas Groundwater.pdf
Presented at June 6-7 Texas Alliance of Groundwater Districts Business Meeting
Cytokines and their role in immune regulation.pptx
This presentation covers the content and information on "Cytokines " and their role in immune regulation .
3D Hybrid PIC simulation of the plasma expansion (ISSS-14)
3D Particle-In-Cell (PIC) algorithm,
Plasma expansion in the dipole magnetic field.
Randomised Optimisation Algorithms in DAPHNE
Slides from talk:
Aleš Zamuda: Randomised Optimisation Algorithms in DAPHNE .
Austrian-Slovenian HPC Meeting 2024 – ASHPC24, Seeblickhotel Grundlsee in Austria, 10–13 June 2024
https://ashpc.eu/
Thornton ESPP slides UK WW Network 4_6_24.pdf
ESPP presentation to EU Waste Water Network, 4th June 2024 “EU policies driving nutrient removal and recycling
and the revised UWWTD (Urban Waste Water Treatment Directive)”
Authoring a personal GPT for your research and practice: How we created the Q...
Thematic analysis in qualitative research is a time-consuming and systematic task, typically done using teams. Team members must ground their activities on common understandings of the major concepts underlying the thematic analysis, and define criteria for its development. However, conceptual misunderstandings, equivocations, and lack of adherence to criteria are challenges to the quality and speed of this process. Given the distributed and uncertain nature of this process, we wondered if the tasks in thematic analysis could be supported by readily available artificial intelligence chatbots. Our early efforts point to potential benefits: not just saving time in the coding process but better adherence to criteria and grounding, by increasing triangulation between humans and artificial intelligence. This tutorial will provide a description and demonstration of the process we followed, as two academic researchers, to develop a custom ChatGPT to assist with qualitative coding in the thematic data analysis process of immersive learning accounts in a survey of the academic literature: QUAL-E Immersive Learning Thematic Analysis Helper. In the hands-on time, participants will try out QUAL-E and develop their ideas for their own qualitative coding ChatGPT. Participants that have the paid ChatGPT Plus subscription can create a draft of their assistants. The organizers will provide course materials and slide deck that participants will be able to utilize to continue development of their custom GPT. The paid subscription to ChatGPT Plus is not required to participate in this workshop, just for trying out personal GPTs during it.
Micronuclei test.M.sc.zoology.fisheries.
Current Ms word generated power point presentation covers major details about the micronuclei test. It's significance and assays to conduct it. It is used to detect the micronuclei formation inside the cells of nearly every multicellular organism. It's formation takes place during chromosomal sepration at metaphase.
More Related Content
What's hot
MathLab Overview
This document provides an overview of MATLAB formatting and operations on numeric data types. It includes:
1) Examples of formatting numeric values with different precision levels and notations using formats like short, long, hex, etc.
2) Observations on how the precision and byte size of numeric values change based on data type when formatted.
3) Examples of performing basic math operations like addition, subtraction, multiplication on numeric values and the results.
4) Examples of using rounding and remainder functions on integer values and the output.
The document demonstrates how to format and manipulate numeric data in MATLAB using different functions and formats.
Stacks, Queues, Deques
Stacks, Queues, and Deques describes different data structures and their properties. Stacks follow LIFO order with insertion and removal at the same end. Queues follow FIFO order with insertion at one end and removal at the other. Deques allow insertion and removal at both ends. These structures can be implemented using arrays or linked lists.
data structure
The document discusses various data structures including stack, queue, linked lists, priority queue, and the tower of Hanoi problem. It provides definitions and examples of each data structure. For stacks, it describes the push and pop operations. For queues, it discusses insertion at the rear and deletion from the front. It also provides algorithms and code examples for implementing each data structure using arrays and linked lists.
30 computation techniques for mac laurin expansions x
I. The document discusses techniques for computing Maclaurin series expansions of functions algebraically rather than via direct computation of derivatives. It presents theorems stating that Maclaurin series respect basic algebraic operations like addition, multiplication, and composition.
II. Examples are provided of computing the Maclaurin series for functions like sin(x)+cos(x), x2ex, sin(x2), and 1+x2/x through applying the algebraic properties of Maclaurin series and existing series forms.
30 computation techniques for maclaurin expansions x
I. The document discusses techniques for computing Maclaurin series expansions of functions algebraically rather than via direct computation of derivatives. It presents theorems stating that Maclaurin series respect basic algebraic operations like addition, subtraction, multiplication, and division. It also states they respect function composition.
II. Examples are provided of computing the Maclaurin series for sin(x)+cos(x), x^2*e^x, sin(x^2), and 1/(1+x^2). Basic series for exponential, sine, and cosine functions are summarized that are used in the examples.
Stacks and queues
The document discusses stacks and queues. Stacks are linear lists where additions and removals occur at one end, called the top. Stacks follow LIFO order. Queues are linear lists where additions occur at one end, called the rear, and removals occur at the other end, called the front, following FIFO order. Common stack and queue operations and implementations using arrays are described. Examples like the Towers of Hanoi problem and rat in a maze demonstrate stack and queue applications.
Inverse Functions
1) The document discusses finding the inverse of functions by interchanging the x and y variables and solving for y. It provides examples of finding the inverses of f(x)=3x-7 and g(x)=2x^3+1.
2) It also discusses verifying inverses by checking if the composition of a function and its inverse equals x. And finding inverses of functions with restricted domains, including an example of f(x)=sqrt(x+4).
3) Finally, it discusses the relationship between a function being one-to-one and having an inverse function, both algebraically and graphically.
Stacks queues
This document discusses data structures and algorithms for stacks and queues. It describes the common operations for stacks and queues like push, pop, enqueue, dequeue. It provides array-based and linked list-based implementations for both stacks and queues. For queues, it discusses two implementations using arrays: one using front and rear indexes, and another using a circular queue approach. The time complexities of common operations on stacks and queues are also analyzed.
Jan. 6 Inverse Functions
The document discusses inverse functions. It defines an inverse function as switching the x's and y's in a function's ordered pairs. If this inversion results in another function, it is called the inverse function. The domain of the original function becomes the range of the inverse function, and vice versa. It provides examples of finding the expressions for inverse functions and checking if they are correct inverses. It also discusses the differences between one-to-one and many-to-one functions, and uses the horizontal line test to determine which is being graphed. Exercises are provided to find specific inverse functions.
1. 4 Singly linked list deletion
1. 4 Singly linked list deletionP. Subathra Kishore, KAMARAJ College of Engineering and Technology, Madurai
The document discusses various deletion operations on singly linked lists. It provides algorithms and code snippets for deleting the first element, last element, a given element, and an element at a given position in a singly linked list. The algorithms handle both empty lists and non-empty lists with single and multiple nodes. Key steps include checking for empty lists, traversing the list to find the required element or position while tracking the previous node, and updating pointers after deleting the node.Algebra 2 Section 5-3
The document discusses inverse functions and relations. It defines an inverse relation as one where the coordinates of a relation are switched, and an inverse function as one where the domain and range of a function are switched. It provides examples of finding the inverse of specific relations and functions by switching their coordinates or domain and range. It also discusses how to determine if two functions are inverses using their graphs and the horizontal line test.
What's hot (11)
30 computation techniques for mac laurin expansions x
30 computation techniques for mac laurin expansions x
30 computation techniques for maclaurin expansions x
30 computation techniques for maclaurin expansions x
Recently uploaded
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx
Although Artemia has been known to man for centuries, its use as a food for the culture of larval organisms apparently began only in the 1930s, when several investigators found that it made an excellent food for newly hatched fish larvae (Litvinenko et al., 2023). As aquaculture developed in the 1960s and ‘70s, the use of Artemia also became more widespread, due both to its convenience and to its nutritional value for larval organisms (Arenas-Pardo et al., 2024). The fact that Artemia dormant cysts can be stored for long periods in cans, and then used as an off-the-shelf food requiring only 24 h of incubation makes them the most convenient, least labor-intensive, live food available for aquaculture (Sorgeloos & Roubach, 2021). The nutritional value of Artemia, especially for marine organisms, is not constant, but varies both geographically and temporally. During the last decade, however, both the causes of Artemia nutritional variability and methods to improve poorquality Artemia have been identified (Loufi et al., 2024).
Brine shrimp (Artemia spp.) are used in marine aquaculture worldwide. Annually, more than 2,000 metric tons of dry cysts are used for cultivation of fish, crustacean, and shellfish larva. Brine shrimp are important to aquaculture because newly hatched brine shrimp nauplii (larvae) provide a food source for many fish fry (Mozanzadeh et al., 2021). Culture and harvesting of brine shrimp eggs represents another aspect of the aquaculture industry. Nauplii and metanauplii of Artemia, commonly known as brine shrimp, play a crucial role in aquaculture due to their nutritional value and suitability as live feed for many aquatic species, particularly in larval stages (Sorgeloos & Roubach, 2021).
8.Isolation of pure cultures and preservation of cultures.pdf
Isolation of pure culture, its various method.
Bob Reedy - Nitrate in Texas Groundwater.pdf
Presented at June 6-7 Texas Alliance of Groundwater Districts Business Meeting
Cytokines and their role in immune regulation.pptx
This presentation covers the content and information on "Cytokines " and their role in immune regulation .
3D Hybrid PIC simulation of the plasma expansion (ISSS-14)
3D Particle-In-Cell (PIC) algorithm,
Plasma expansion in the dipole magnetic field.
Randomised Optimisation Algorithms in DAPHNE
Slides from talk:
Aleš Zamuda: Randomised Optimisation Algorithms in DAPHNE .
Austrian-Slovenian HPC Meeting 2024 – ASHPC24, Seeblickhotel Grundlsee in Austria, 10–13 June 2024
https://ashpc.eu/
Thornton ESPP slides UK WW Network 4_6_24.pdf
ESPP presentation to EU Waste Water Network, 4th June 2024 “EU policies driving nutrient removal and recycling
and the revised UWWTD (Urban Waste Water Treatment Directive)”
Authoring a personal GPT for your research and practice: How we created the Q...
Thematic analysis in qualitative research is a time-consuming and systematic task, typically done using teams. Team members must ground their activities on common understandings of the major concepts underlying the thematic analysis, and define criteria for its development. However, conceptual misunderstandings, equivocations, and lack of adherence to criteria are challenges to the quality and speed of this process. Given the distributed and uncertain nature of this process, we wondered if the tasks in thematic analysis could be supported by readily available artificial intelligence chatbots. Our early efforts point to potential benefits: not just saving time in the coding process but better adherence to criteria and grounding, by increasing triangulation between humans and artificial intelligence. This tutorial will provide a description and demonstration of the process we followed, as two academic researchers, to develop a custom ChatGPT to assist with qualitative coding in the thematic data analysis process of immersive learning accounts in a survey of the academic literature: QUAL-E Immersive Learning Thematic Analysis Helper. In the hands-on time, participants will try out QUAL-E and develop their ideas for their own qualitative coding ChatGPT. Participants that have the paid ChatGPT Plus subscription can create a draft of their assistants. The organizers will provide course materials and slide deck that participants will be able to utilize to continue development of their custom GPT. The paid subscription to ChatGPT Plus is not required to participate in this workshop, just for trying out personal GPTs during it.
Micronuclei test.M.sc.zoology.fisheries.
Current Ms word generated power point presentation covers major details about the micronuclei test. It's significance and assays to conduct it. It is used to detect the micronuclei formation inside the cells of nearly every multicellular organism. It's formation takes place during chromosomal sepration at metaphase.
Shallowest Oil Discovery of Turkiye.pptx
The Petroleum System of the Çukurova Field - the Shallowest Oil Discovery of Türkiye, Adana
Applied Science: Thermodynamics, Laws & Methodology.pdf
When I was asked to give a companion lecture in support of ‘The Philosophy of Science’ (https://shorturl.at/4pUXz) I decided not to walk through the detail of the many methodologies in order of use. Instead, I chose to employ a long standing, and ongoing, scientific development as an exemplar. And so, I chose the ever evolving story of Thermodynamics as a scientific investigation at its best.
Conducted over a period of >200 years, Thermodynamics R&D, and application, benefitted from the highest levels of professionalism, collaboration, and technical thoroughness. New layers of application, methodology, and practice were made possible by the progressive advance of technology. In turn, this has seen measurement and modelling accuracy continually improved at a micro and macro level.
Perhaps most importantly, Thermodynamics rapidly became a primary tool in the advance of applied science/engineering/technology, spanning micro-tech, to aerospace and cosmology. I can think of no better a story to illustrate the breadth of scientific methodologies and applications at their best.
Immersive Learning That Works: Research Grounding and Paths Forward
We will metaverse into the essence of immersive learning, into its three dimensions and conceptual models. This approach encompasses elements from teaching methodologies to social involvement, through organizational concerns and technologies. Challenging the perception of learning as knowledge transfer, we introduce a 'Uses, Practices & Strategies' model operationalized by the 'Immersive Learning Brain' and ‘Immersion Cube’ frameworks. This approach offers a comprehensive guide through the intricacies of immersive educational experiences and spotlighting research frontiers, along the immersion dimensions of system, narrative, and agency. Our discourse extends to stakeholders beyond the academic sphere, addressing the interests of technologists, instructional designers, and policymakers. We span various contexts, from formal education to organizational transformation to the new horizon of an AI-pervasive society. This keynote aims to unite the iLRN community in a collaborative journey towards a future where immersive learning research and practice coalesce, paving the way for innovative educational research and practice landscapes.
The debris of the ‘last major merger’ is dynamically young
The Milky Way’s (MW) inner stellar halo contains an [Fe/H]-rich component with highly eccentric orbits, often referred to as the
‘last major merger.’ Hypotheses for the origin of this component include Gaia-Sausage/Enceladus (GSE), where the progenitor
collided with the MW proto-disc 8–11 Gyr ago, and the Virgo Radial Merger (VRM), where the progenitor collided with the
MW disc within the last 3 Gyr. These two scenarios make different predictions about observable structure in local phase space,
because the morphology of debris depends on how long it has had to phase mix. The recently identified phase-space folds in Gaia
DR3 have positive caustic velocities, making them fundamentally different than the phase-mixed chevrons found in simulations
at late times. Roughly 20 per cent of the stars in the prograde local stellar halo are associated with the observed caustics. Based
on a simple phase-mixing model, the observed number of caustics are consistent with a merger that occurred 1–2 Gyr ago.
We also compare the observed phase-space distribution to FIRE-2 Latte simulations of GSE-like mergers, using a quantitative
measurement of phase mixing (2D causticality). The observed local phase-space distribution best matches the simulated data
1–2 Gyr after collision, and certainly not later than 3 Gyr. This is further evidence that the progenitor of the ‘last major merger’
did not collide with the MW proto-disc at early times, as is thought for the GSE, but instead collided with the MW disc within
the last few Gyr, consistent with the body of work surrounding the VRM.
bordetella pertussis.................................ppt
Bordettela is a gram negative cocobacilli spread by air born drop let
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...
The pygmy halfbeak Dermogenys colletei, is known for its viviparous nature, this presents an intriguing case of relatively low fecundity, raising questions about potential compensatory reproductive strategies employed by this species. Our study delves into the examination of fecundity and the Gonadosomatic Index (GSI) in the Pygmy Halfbeak, D. colletei (Meisner, 2001), an intriguing viviparous fish indigenous to Sarawak, Borneo. We hypothesize that the Pygmy halfbeak, D. colletei, may exhibit unique reproductive adaptations to offset its low fecundity, thus enhancing its survival and fitness. To address this, we conducted a comprehensive study utilizing 28 mature female specimens of D. colletei, carefully measuring fecundity and GSI to shed light on the reproductive adaptations of this species. Our findings reveal that D. colletei indeed exhibits low fecundity, with a mean of 16.76 ± 2.01, and a mean GSI of 12.83 ± 1.27, providing crucial insights into the reproductive mechanisms at play in this species. These results underscore the existence of unique reproductive strategies in D. colletei, enabling its adaptation and persistence in Borneo's diverse aquatic ecosystems, and call for further ecological research to elucidate these mechanisms. This study lends to a better understanding of viviparous fish in Borneo and contributes to the broader field of aquatic ecology, enhancing our knowledge of species adaptations to unique ecological challenges.
在线办理(salfor毕业证书)索尔福德大学毕业证毕业完成信一模一样
学校原件一模一样【微信：741003700 】《(salfor毕业证书)索尔福德大学毕业证》【微信：741003700 】学位证，留信认证（真实可查，永久存档）原件一模一样纸张工艺/offer、雅思、外壳等材料/诚信可靠,可直接看成品样本，帮您解决无法毕业带来的各种难题！外壳，原版制作，诚信可靠，可直接看成品样本。行业标杆！精益求精，诚心合作，真诚制作！多年品质 ,按需精细制作，24小时接单,全套进口原装设备。十五年致力于帮助留学生解决难题，包您满意。
本公司拥有海外各大学样板无数，能完美还原。
1:1完美还原海外各大学毕业材料上的工艺：水印，阴影底纹，钢印LOGO烫金烫银，LOGO烫金烫银复合重叠。文字图案浮雕、激光镭射、紫外荧光、温感、复印防伪等防伪工艺。材料咨询办理、认证咨询办理请加学历顾问Q/微741003700
【主营项目】
一.毕业证【q微741003700】成绩单、使馆认证、教育部认证、雅思托福成绩单、学生卡等！
二.真实使馆公证(即留学回国人员证明,不成功不收费)
三.真实教育部学历学位认证（教育部存档！教育部留服网站永久可查）
四.办理各国各大学文凭(一对一专业服务,可全程监控跟踪进度)
如果您处于以下几种情况：
◇在校期间，因各种原因未能顺利毕业……拿不到官方毕业证【q/微741003700】
◇面对父母的压力，希望尽快拿到；
◇不清楚认证流程以及材料该如何准备；
◇回国时间很长，忘记办理；
◇回国马上就要找工作，办给用人单位看；
◇企事业单位必须要求办理的
◇需要报考公务员、购买免税车、落转户口
◇申请留学生创业基金
留信网认证的作用:
1:该专业认证可证明留学生真实身份
2:同时对留学生所学专业登记给予评定
3:国家专业人才认证中心颁发入库证书
4:这个认证书并且可以归档倒地方
5:凡事获得留信网入网的信息将会逐步更新到个人身份内，将在公安局网内查询个人身份证信息后，同步读取人才网入库信息
6:个人职称评审加20分
7:个人信誉贷款加10分
8:在国家人才网主办的国家网络招聘大会中纳入资料，供国家高端企业选择人才
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...
Travis Hills of Minnesota developed a method to convert waste into high-value dry fertilizer, significantly enriching soil quality. By providing farmers with a valuable resource derived from waste, Travis Hills helps enhance farm profitability while promoting environmental stewardship. Travis Hills' sustainable practices lead to cost savings and increased revenue for farmers by improving resource efficiency and reducing waste.
Recently uploaded (20)
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx
The use of Nauplii and metanauplii artemia in aquaculture (brine shrimp).pptx
8.Isolation of pure cultures and preservation of cultures.pdf
8.Isolation of pure cultures and preservation of cultures.pdf
Cytokines and their role in immune regulation.pptx
Cytokines and their role in immune regulation.pptx
3D Hybrid PIC simulation of the plasma expansion (ISSS-14)
3D Hybrid PIC simulation of the plasma expansion (ISSS-14)
Authoring a personal GPT for your research and practice: How we created the Q...
Authoring a personal GPT for your research and practice: How we created the Q...
Basics of crystallography, crystal systems, classes and different forms
Basics of crystallography, crystal systems, classes and different forms
aziz sancar nobel prize winner: from mardin to nobel
aziz sancar nobel prize winner: from mardin to nobel
Applied Science: Thermodynamics, Laws & Methodology.pdf
Applied Science: Thermodynamics, Laws & Methodology.pdf
Immersive Learning That Works: Research Grounding and Paths Forward
Immersive Learning That Works: Research Grounding and Paths Forward
The debris of the ‘last major merger’ is dynamically young
The debris of the ‘last major merger’ is dynamically young
bordetella pertussis.................................ppt
bordetella pertussis.................................ppt
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...
Unlocking the mysteries of reproduction: Exploring fecundity and gonadosomati...
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...
Travis Hills' Endeavors in Minnesota: Fostering Environmental and Economic Pr...
Queue - Data structure
- 2. WHAT IS QUEUE ? IT’S A DATA STRUCTURE WHERE YOU ADD ITEMS TO THE END AND REMOVE ITEMS FROM THE FRONT When you ADD an item, its called ENQUEUE When you REMOVE an item, its called DEQUEUE FIRST IN FIRST OUT (FIFO)
- 3. ENQUEUE & DEQUEUE I n i t i a l i z e Q u e u e q q . e n Q ( r a t )X = q . d e Q ( )X = q . d e Q ( ) q . e n Q ( c a t )q . e n Q ( b a t ) X = q . d e Q ( ) rat cat ball rat cat ball cat ball bat cat ball bat ball bat bat rat cat q . e n Q ( b a l l )
- 4. HOW ARE QUEUES IMPLEMENTED ? ARRAY Implementation 56 56 q.enQ(56) q.deQ()q.enQ(90)rear = -1 3 2 1 0 3 2 1 0 3 2 1 0 3 2 1 056 90 front = rear = 90 front = front = rear = front = rear = rear = front =